The DOI matches its Crossref record.
Hierarchical Control and Optimum Firm Size
Abstract
There is a great deal of evidence that almost all organizational structures tend to produce false images in the decision-maker, and that the larger and more authoritarian the organization, the better the chance that its top decision-makers will be operating in purely imaginary worlds. This perhaps is the most fundamental reason for supposing that there are ultimately diminishing returns to scale.
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Citations
Cited by
Public choice: a different approach to the study of public administration
Ostrom, V., & Ostrom, E. (1971) · Public Administration Review · doi:10.2307/974676 · Cited by 454
Evaluation of credit risk based on firm performance
Psillaki, M., Tsolas, I. E., & Margaritis, D. (2010) · European Journal of Operational Research · doi:10.1016/j.ejor.2009.03.032 · Cited by 234
Capital Structure and Default Risk: Evidence from Korean Stock Market
Graduate School, D. U., GUL, S., & CHO, H.-R. (2019) · The Journal of Asian Finance, Economics and Business · doi:10.13106/jafeb.2019.vol6.no2.15 · Cited by 28
Gulati, P., Marchetti, A., & Puranam, P. (2026) · Management Science · doi:10.1287/mnsc.2023.04127 · Cited by 2
Metadata
- Authors
- Williamson, O. E.
- Venue
- Journal of Political Economy
- Publisher
- University of Chicago Press
- Published
- 1967-04
- Volume
- 75
- Issue
- 2
- Pages
- 123-138
- ISSN
- 0022-3808 (ISSN-L)
- 1537-534X
- OpenAlex
- W1993191426
- Cited by
- 1,043
- References
- 0
- FWCI
- 8.60
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Hierarchical Control and Optimum Firm Size. https://app.cochat.ai/papers/10.1086/259258
- The paper
- Williamson, O. E. (1967). Hierarchical Control and Optimum Firm Size. Journal of Political Economy. https://doi.org/10.1086/259258
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.